The number of classes that are annotated in standard vision datasets like Pascal VOC [1]} and MS-COCO [2]} are very low (20 and 80 respectively) when compared to the infinite number of classes that are present in the open world. Recognising an unknown as an unknown requires strong generalization. Scheirer [3]} formalise this as Open Set classification problem. Henceforth, various methodologies (using 1-vs-rest SVMs and deep learning models) has been formulated to address this challenging setting.
Bendale [4]} extend Open Set to an Open World classification setting by additionally updating the image classifier to recognise the identified new unknown classes.
Interestingly, as seen in Fig. REF , Open World object detection is unexplored, owing to the difficulty of the problem setting.
<FIGURE>